Investigation Chat
Overview
After an investigation completes, you can chat with it to ask follow-up questions, request deeper analysis, or clarify the findings. Investigation Chat gives you an interactive way to explore the investigation results with full context.
How It Works
When you open a chat for a completed investigation, the AI has access to:
- All data collected during the investigation (logs, events, configs)
- The topology map of affected resources
- The root cause analysis and recommendations
- The ability to query the cluster for additional live data
This means you can ask specific questions and get answers grounded in your actual infrastructure — not generic advice.
Accessing Investigation Chat
From the Portal
- Navigate to Investigations and select an investigation
- Open the chat interface from the investigation detail page
- Type your question
From Slack
Click the investigation link in the Slack notification to open it in the portal, then use the chat interface.
Example Interactions
Diving Deeper into Root Cause
You: Why specifically did this pod get OOMKilled?
AI: The pod api-gateway-7d8f9b6c4-x2k9p was OOMKilled because its memory
limit is set to 256Mi, but the container's RSS peaked at 312Mi based
on the events timeline. The logs show a connection pool growing
without bounds starting at 14:23 UTC...
Requesting Specific Data
You: Show me the last 50 lines of logs before the crash
AI: Here are the relevant log lines from container api-gateway...
Understanding Recommendations
You: Why do you recommend increasing the memory limit instead of fixing the leak?
AI: Both are recommended. The immediate action (increasing the limit to 512Mi)
prevents crashes while you investigate the connection pool leak. The
preventive measure addresses the underlying cause...
Checking Current State
You: Is the pod running now?
AI: [queries cluster] The pod api-gateway-7d8f9b6c4-x2k9p has been replaced
by api-gateway-7d8f9b6c4-m3n7q, which is currently Running with 0 restarts.
Conversation Features
- Multi-turn — Ask multiple follow-up questions; the AI maintains conversation context
- Live data access — The AI can query your cluster in real time for current state
- Multi-agent — Chat can leverage all configured integrations (Kubernetes, Git, Datadog, Grafana)
- Real-time responses — WebSocket-based communication for immediate feedback
Next Steps
- AI Chat Overview — General-purpose cluster chat (not tied to an investigation)
- Example Prompts — Prompt ideas for productive conversations